We are looking for a Performance Engineer with 6+ years of experience to optimize, analyze, and enhance the performance of our applications and systems. The ideal candidate will have expertise in performance testing, tuning, monitoring, and troubleshooting to ensure smooth system functionality and scalability under varying loads.
Your Role and Responsibilities
- Performance Testing & Analysis: Design, develop, and execute load, stress, endurance, and scalability tests using tools like JMeter, LoadRunner, or Gatling.
- Bottleneck Identification: Analyze performance issues related to CPU, memory, disk I/O, network latency, and application code.
- Optimization & Tuning: Work on code optimizations, database query tuning, JVM tuning, and configuration adjustments to improve performance.
- Monitoring & Profiling: Use APM tools (New Relic, Dynatrace, AppDynamics, Prometheus, Grafana) to track application performance in real-time.
- Automation & Scripting: Develop test scripts using Python, Java, or Shell scripting for continuous performance validation.
- Collaboration: Work closely with developers, DevOps, and infrastructure teams to troubleshoot and resolve performance-related issues.
- Benchmarking & Reporting: Define performance benchmarks and generate reports with detailed insights and recommendations.
Required Education
Preferred Education
Required Technical and Professional Expertise
- 6+ years of experience in Performance Engineering or Performance Testing.
- Proficiency in performance testing tools such as JMeter, LoadRunner, Gatling.
- Strong knowledge of profiling and monitoring tools like New Relic, Dynatrace, AppDynamics, Prometheus, Grafana.
- Experience with APIs, microservices performance testing, and cloud-based performance testing.
- Hands-on expertise in JVM tuning, SQL query optimization, GC analysis, and thread dump analysis.
- Proficiency in scripting languages (Python, Bash, Groovy, or PowerShell).
- Familiarity with CI/CD pipelines, Kubernetes, Docker, AWS, or Azure for performance testing in cloud environments.
- Strong analytical and troubleshooting skills for identifying and resolving performance issues.
Preferred Technical and Professional Experience
- Experience with chaos engineering and resilience testing.
- Knowledge of distributed systems, caching mechanisms (Redis, Memcached), and message queues (Kafka, RabbitMQ).
- Hands-on experience with AI-driven performance analysis tools.
